Infosys (NSE, BSE, NYSE: INFY), a global leader in next-generation digital services and consulting, has unveiled its AI First Value Framework to help enterprises harness AI value at scale. Powered by its generative and agentic AI suite, Infosys Topaz™, the framework is designed to capture a significant new opportunity in AI-first services, estimated at USD 300–400 billion by 2030, according to a Nasscom-McKinsey report. This initiative marks a major expansion in the company’s IT services portfolio, combining AI innovation with practical enterprise applications.
The company’s AI strategy focuses on two main areas: capturing new demand for AI-first services across six value pools and enhancing existing services through AI to increase wallet share. The framework emphasizes AI Strategy & Engineering, which involves designing and implementing AI strategies, platforms, and architectures tailored to business needs. By orchestrating AI agents, proprietary platforms, and third-party tools on purpose-built infrastructure, enterprises can move from experimentation to an enterprise-wide AI operating model.
Data for AI is another critical component, preparing both structured and unstructured enterprise data for AI readiness. By building AI-ready data platforms and applying AI-grade engineering, including techniques like fingerprinting and synthetic data services, organizations can turn raw data into a trusted strategic asset that supports advanced analytics, predictive intelligence, and real-time decision-making.
Process AI enables the transformation of core business processes by integrating AI agents with human expertise. By redesigning end-to-end workflows, enterprises can leverage domain-aware agents alongside humans to improve efficiency, enhance user experiences, and deliver measurable business outcomes across industries.
Agentic Legacy Modernization focuses on using AI agents to analyze existing IT estates, understand their intent, and progressively modernize them without disruption. This approach reduces technical debt while increasing agility in responding to changing business demands. Physical AI involves designing intelligent products and embedding AI into devices, enabling them to capture sensor data, interpret signals, and act in real-time. Combining digital twins, robotics, autonomous systems, and edge intelligence, organizations can innovate at the intersection of physical and digital experiences.
AI Trust is a foundational pillar, ensuring AI systems and agents operate responsibly, securely, and ethically. By embedding risk assessments, governance, policy design, and security testing, enterprises can scale AI initiatives confidently while meeting regulatory, ethical, and risk standards.
Infosys leverages its purpose-built, composable, and open agentic services suite, Infosys Topaz Fabric™, along with collaborations with AI disruptors, to deliver both AI-augmented and AI-first services. Currently, Infosys is working with 90% of its top 200 clients on AI initiatives and has over 4,600 AI projects underway. The company has also introduced more than 30 new service offerings across the six value pools, establishing itself as a trusted partner for unlocking AI value and delivering business outcomes in revenue growth, cost optimization, and innovation.
Nandan Nilekani, Co-founder and Chairman of Infosys, emphasized the critical role of IT services companies in the AI era, highlighting the need for deep systems integration, governance, trust frameworks, and large-scale transformation capabilities. Salil Parekh, CEO and MD, reiterated that Infosys’ AI First Value Framework positions the company to capture market share across the six value pools, helping clients unlock AI value at scale from strategy through execution.
